Top Tech Jobs & Startup Jobs

Lead the design, implementation, and operation of computer vision and MLOps pipelines, including data curation, model training, evaluation, deployment, monitoring, and production troubleshooting. Set technical direction, improve testing and reproducibility, lead architecture discussions, mentor engineers, and collaborate across product, infrastructure, support, and external teams to connect model quality with client outcomes.

Manage 8–12 enterprise B2B SaaS accounts from late-stage sales through rollout, adoption, expansion, and renewal. Build executive and operational relationships, guide platform usage, coordinate multi-site implementations, track measurable outcomes, identify risks, and support retention and expansion. Partner cross-functionally with Sales, Implementation, Support, Product, Marketing, and Engineering. The role requires translating client safety and operational goals into platform strategies and measurable business value.

Lead Protex AI’s enterprise sales organization and commercial strategy. Build and scale high-performing Account Executive teams, drive net-new acquisition and land-and-expand growth, coach strategic deal execution, and establish scalable sales processes. Partner with Marketing, Product, Customer Success, and Deployment to accelerate customer value, expansion, and revenue. Serve as an executive sponsor for strategic enterprise accounts and cultivate relationships with senior stakeholders.

Own the full enterprise sales cycle across EMEA, from prospecting and outbound campaigns through negotiation and closing. Build relationships with industrial, manufacturing, logistics, and warehousing stakeholders; expand existing accounts through upselling and cross-selling; exceed revenue targets; collaborate with marketing, customer success, and product teams; and represent the company at European health and safety conferences.

Provide escalated technical support for edge-to-cloud computer vision deployments: troubleshoot cameras, networking, edge devices, and integrations; analyze AWS CloudWatch logs; debug Python and JavaScript; collaborate with Engineering, Product, and Client Success; document solutions and improve support processes.

Provides legal counsel for SaaS products, commercial contracts, privacy, data protection, and global AI regulation. Advises Sales and Engineering during contracting and product development, negotiates data protection agreements, conducts privacy and risk assessments, develops compliance programs, monitors AI legislation, works with regulators, trains employees, and mentors a junior legal associate.

Lead and scale revenue operations across commercial teams. Build unified revenue data infrastructure, reporting, analytics, commission plans, and reconciliation processes. Establish operating rhythms, optimize lead-to-revenue workflows, automate processes, and improve the revenue technology stack. Partner with senior leadership on strategic decisions, growth opportunities, cross-functional alignment, and operational excellence. This hybrid role requires two days weekly in the Boston office.

Build and maintain client-specific software, data pipelines, backend infrastructure, integrations, and prototypes for enterprise industrial environments. Architect scalable data systems, connect ERP, CMMS, BI, edge, camera, PLC, and hardware platforms, validate deployments, and ensure data integrity and reliability. Serve as the technical bridge between clients and core engineering teams, provide technical leadership in Boston, and feed deployment learnings into the product roadmap. Travel to client sites and Dublin periodically.

Manage full-lifecycle recruiting across Engineering, Product, Sales, and Operations. Advise executives and hiring managers on talent requirements, sourcing strategy, assessments, and candidate profiles. Use generative AI, ATS platforms, and workflow automation to build pipelines and improve hiring efficiency. Lead talent initiatives including candidate experience, employer branding, interviewer training, and ATS data optimization while tracking recruitment metrics.

Leads and develops a team of 4–6 Account Executives selling enterprise AI-powered safety and operations solutions. Responsibilities include coaching, pipeline management, forecasting, account planning, deal negotiation, customer health monitoring, cross-functional growth initiatives, and supporting strategic customer conversations across manufacturing, logistics, and warehousing markets.